code: def test_correctness(self):
      sequence = (
          np.arange(1920).reshape((2, 3, 4, 4, 4, 5)).astype("float32")
          / 100
      )
      expected_output = np.array(
          [
              [
                  [
                      [
                          [0.99149036, 0.99149036],
                          [0.99180907, 0.99180907],
                      ],
                      [
                          [0.99258363, 0.99258363],
                          [0.9927925, 0.9927925],
                      ],
                  ],
                  [
                      [
                          [0.99413764, 0.99413764],
                          [0.99420583, 0.99420583],
                      ],
                      [[0.9943788, 0.9943788], [0.9944278, 0.9944278]],
                  ],
              ],
              [
                  [
                      [[0.9950547, 0.9950547], [0.9950547, 0.9950547]],
                      [[0.9950547, 0.9950547], [0.9950547, 0.9950547]],
                  ],
                  [
                      [[0.9950547, 0.9950547], [0.9950547, 0.9950547]],
                      [[0.9950547, 0.9950547], [0.9950547, 0.9950547]],
                  ],
              ],
          ]
      )
      if backend.config.image_data_format() == "channels_first":
          sequence = sequence.transpose((0, 1, 5, 2, 3, 4))
          expected_output = expected_output.transpose((0, 4, 1, 2, 3))
      layer = layers.ConvLSTM3D(
          filters=2,
          kernel_size=3,
          kernel_initializer=initializers.Constant(0.01),
          recurrent_initializer=initializers.Constant(0.02),
          bias_initializer=initializers.Constant(0.03),
      )
      output = layer(sequence)
      self.assertAllClose(
          expected_output,
          output,
      )
  
file_path: keras/keras/layers/rnn/conv_lstm3d_test.py
imports: import numpy
  import pytest
  from keras import backend
  from keras import initializers
  from keras import layers
  from keras import testing
label_desc: Use image node_id 2 for calling the ConvLSTM1DTest obj's underlying member method code with example usage: obj.test_correctness() without return types